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Ars Technica: We're So Good at Medical Studies that Most of them are Wrong

By Jamie Nunnelly, March 3, 2010

Stan Young, Assistant Director, Bioinformatics at NISS, was part of a panel that spoke at the AAAS conference in San Diego in February 2010. This article describes that most times, epidemiology studies have problems with statistics. The author of this article from Ars Technica believes that the statistical tools for evaluating the science hasn't kept up pace with the scientific output. Click here to read the article.